{"id":"W4400209907","doi":"10.4324/9781003499787-17","title":"How Memory and Generation Shape South Asian Migration","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922827,0.0002452499,0.0001597574,0.0008510497,0.005001938,0.006235802,0.0006423291,0.0004303288,0.005902428],"category_scores_gemma":[0.001105353,0.0001475772,0.0001550928,0.001599732,0.01068763,0.002594155,0.003143734,0.0008893933,0.0002854251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007429125,"about_ca_system_score_gemma":0.007383219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2006083,"about_ca_topic_score_gemma":0.3305182,"domain_scores_codex":[0.9996393,0.0001127235,0.000007726921,0.00003481589,0.00004297066,0.0001623983],"domain_scores_gemma":[0.9997134,0.00008609318,0.00003744651,0.00002363628,0.00005464233,0.00008473151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009194925,0.00002993982,0.01735682,0.000104333,0.00001115216,0.001055777,0.6326015,0.0002540301,0.000800464,0.2994049,0.003176705,0.04511243],"study_design_scores_gemma":[0.00001971478,0.00003858157,0.03869397,0.0002967124,0.00003354839,0.0004877741,0.736639,0.0003207757,0.000634235,0.0687478,0.1540469,0.00004097347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6560236,0.004449685,0.0008895386,0.005678174,0.0001358331,0.00003006245,0.00008720987,0.00002542793,0.3326804],"genre_scores_gemma":[0.980494,0.002151634,0.0002310927,0.0001820759,0.00001894254,0.000009211101,0.00002592021,0.00001387028,0.01687326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2006083,"threshold_uncertainty_score":0.3988813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666282841324098,"score_gpt":0.2539214945507254,"score_spread":0.2272586661374844,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}